{"id":"W6946954737","doi":"10.34943/8abe0f84-8f13-4f74-b0ef-ce20f6446417","title":"Barkley Canyon Mid-West Imaging Rotary Sonar Deployed 2014-05-12","year":2014,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canyon; Sonar; Underwater; Benthic zone; Software deployment; Side-scan sonar; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000687607,0.001551099,0.001051549,0.003216136,0.001031741,0.001454798,0.002627891,0.001143514,0.01763481],"category_scores_gemma":[0.003359197,0.0004590993,0.0005823988,0.006020542,0.0004669239,0.0008159695,0.00125495,0.001142146,0.02745914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003680136,"about_ca_system_score_gemma":0.006629883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5754642,"about_ca_topic_score_gemma":0.7515953,"domain_scores_codex":[0.9991781,0.00007208541,0.00006370537,0.000166517,0.0003215677,0.0001979044],"domain_scores_gemma":[0.9977856,0.0001810242,0.000137199,0.0003517056,0.001345369,0.0001990934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007156099,0.00001826481,0.002529135,0.0002775647,0.00002446391,0.00004135574,0.00003376197,0.0005919574,0.0001213967,0.0003417854,0.9925923,0.00335657],"study_design_scores_gemma":[0.0001272204,0.00001909578,0.0178256,0.000329061,0.00002589214,0.000057245,0.0003059215,0.001111391,0.0004969642,0.0005777365,0.9790735,0.00005030311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005364731,0.00006789427,0.00008020954,0.00005661364,0.000021039,0.00001675668,0.9977882,0.0002294863,0.001203339],"genre_scores_gemma":[0.001042026,0.00004957858,0.0002897496,0.0000192001,0.000004513051,0.00003777373,0.9974346,0.00003387069,0.001088708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5754642,"threshold_uncertainty_score":0.854072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004986149920778531,"score_gpt":0.1948127417913461,"score_spread":0.1898265918705676,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}